Automation of Bridge Inspection Documentation PDF Download
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Author: Andrew P. L'Amoureux
Publisher:
ISBN:
Category : Bridges
Languages : en
Pages : 28
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Book Description
Author: Andrew P. L'Amoureux
Publisher:
ISBN:
Category : Bridges
Languages : en
Pages : 28
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Book Description
Author:
Publisher:
ISBN:
Category : Bridges
Languages : en
Pages :
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Book Description
Author:
Publisher:
ISBN:
Category : Bridges
Languages : en
Pages :
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Book Description
Author: S. S. Kou
Publisher:
ISBN:
Category : Bridges
Languages : en
Pages :
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Book Description
Author: S. S. Kou
Publisher:
ISBN:
Category : Bridges
Languages : en
Pages : 26
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Book Description
Author:
Publisher:
ISBN:
Category : Bridges
Languages : en
Pages : 206
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Book Description
Author: Fouad Fanous
Publisher:
ISBN:
Category : Bridges
Languages : en
Pages : 112
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Book Description
A large percentage of bridges in the state of Iowa are classified as structurally or functionally deficient. These bridges annually compete for a share of Iowa's limited transportation budget. To avoid an increase in the number of deficient bridges, the state of Iowa decided to implement a comprehensive Bridge Management system (BMS) and selected the Pontis BMS software as a bridge management tool. ... The objective of this work was to develop an automated-computerized methodology for an integrated data base that includes the rating conditions as defined in the Pontis program.
Author: S. McRobbie
Publisher:
ISBN: 9781846089077
Category :
Languages : en
Pages : 23
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Book Description
Author: George Hearn
Publisher: Transportation Research Board
ISBN: 0309097959
Category : Bridges
Languages : en
Pages : 209
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Book Description
This synthesis reports bridge inspection practices in the United States and selected foreign countries. The synthesis is a collection of information on formal inspection practices of departments of transportation (DOTs). These are primarily visual inspections and they provide data to bridge registries and databases. For U.S. inspection practices, this synthesis reports on inspection personnel, inspection types, and inspection quality control and quality assurance. Staff titles and functions in inspection programs are reported, together with qualifications and training of personnel, formation of inspection teams, and assignment of teams to bridges. Inspection types are described in terms of their scope, methods, and intervals. Quality control and quality assurance programs are reviewed in terms of the procedures employed, staff involved, quality measurements obtained, and the use of quality findings in DOT inspection programs. Foreign practices are presented in the same organization of inspection personnel, types, and quality programs. Comparisons of U.S. and foreign inspection practices are included. Information was obtained from a questionnaire sent to U.S. state transportation departments, similar questionnaires modified individually for transportation agencies in selected foreign countries, and formal documents used by transportation departments and agencies. These documents primarily included bridge inspection manuals, inspection training manuals, and technical memoranda, but also included blank forms for inspections, DOTs job descriptions for inspectors, and descriptions of inspection training courses. Overall, this synthesis includes information from forty U.S. state transportation departments and from roads agencies in eight foreign nations (Denmark, France, Finland, Germany, Norway, South Africa, Sweden, and the United Kingdom). The synthesis also includes, in an appendix, information from a few provincial and municipal transport agencies in Canada.
Author: Sameer M. Mohata
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
relies on inspectors' observations, and assessments, it is possible that one inspector will rate the condition status of an element differently than another. To eliminate subjectivity in the condition rating prediction of bridges, 'pdfplumber' and 'Tabula-py' were used to extract data sets from historical bridge inspection reports, which will serve as input in training the machine learning algorithm for predictive maintenance programs in the future. The targeted expedition of the inspection process by data collection using UAVs, 3D model reconstruction using photogrammetric pipelines, and historical report processing thus shows how this research can improve the tedious maintenance programs.
